Objective: To explore the association of knee pain intensity with demographics, body mass index, daily sleep hours and comorbidities in overweight people. Study Design: Cross-sectional study. Place and Duration of Study: Different Clinics of Wazirabad City, Pakistan, from Oct 2020 to May 2021. Methodology: People with knee pain for >1 month and a body mass index of ≥25 kg/m2 were included and questioned regarding variables of interest. The pain was graded according to the Numerical Rating Scale. Results: Of 335 individuals (mean age: 31±7 years), 189(56.4%) were males, and 199(59.4%) were married. The mean systolicand diastolic blood pressures were 124.4±7.9 mmHg and 85.3±7.2 mmHg, respectively. The mean sleep hours were 7±0.8 hours,while the mean body mass index was 30.1±2 kg/m2. The mean pain score was 2.8±1. Pain intensity had a significant positive correlation with age (p<0.001), body mass index (p=0.041), systolic and diastolic blood pressures (p<0.001 each). Similarly, pain intensity was significantly higher in people who were married (p<0.001) or had diabetes mellitus or hypertension (p<0.001 each). Conclusion: Knee pain intensity increases with age, body mass index, and systolic and diastolic blood pressure, and it decreases with increasing sleep hours.
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Amjad et al. (2024) studied this question.
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